MT1D_forward_jiexi

matlab 电机仿真,含（1.1.1）有阻尼微分方程的M函数程序和（1.2.1）无阻尼微分方程的M-函数程序(matlab motor simulation, with (1.1.1) of M differential equations with damping function procedures and (1.2.1) without damping differential M-function procedures)

matlab入门 包括矩阵运算 字符串和其他数据类型 线性方程系统 特征之和特征向量(matlab entry, including the characteristics of the system of linear equations of the the matrix operations strings and other data types and eigenvectors)

SAR RD算法 亲测可用 解压使用matlab打开运行即可 效果很好(SAR RD decompression algorithm using matlab pro-test available to good effect to open the Run)

PSO优化PID的MATLAB源代码程序(PSO optimization process PID MATLAB source code)

hi this is face tracking from multiple camera and enjoye u r life with u r friends

增广递推最小二乘参数辨识matlab程序(Augmented recursive least squares parameter identification procedure)

无多普勒频移的海底混响单元散射模型卷积法-matlab(the seafloor reverberation unit scattering model convolution method without Doppler frequency shift )

支持向量机和BP神经网络虽然都可以用来做非线性回归，但它们所基于的理论基础不同，回归的机理也不相同。支持向量机基于结构风险最小化理论，普遍认为其泛化能力要比神经网络的强。为了验证这种观点，本文编写了支持向量机非线性回归的通用Matlab程序和基于神经网络工具箱的BP神经网络仿真模块，仿真结果证实，支持向量机做非线性回归不仅泛化能力强于BP网络，而且能避免神经网络的固有缺陷——训练结果不稳定。 (Support Vector Machine and BP neural network, even though there can be used to make non-linear regression, but they are based on the theoretical basis for the different, the mechanism of regression is not the same. Support vector machine based on structural risk minimization theory, generally considered the generalization ability of neural networks than the strong. To test this view, the paper prepared by non-linear regression support vector machine procedures and based on a common Matlab neural network toolbox of BP neural network )

说明：  演化算法的使用分析，从效率上，从收敛速度上都做了仔细的分析(The use of evolutionary algorithms analysis of efficiency, from the convergence rate has done a careful analysis of)

说明：  蒙特卡洛求pi，非常简单的求pi值的代码源(Monte Carlo for pi, a very simple code for the source of the value of pi)